README
de6ff01ba7e9efficient_neuronet

README
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			This package implements the dissipative particle dynamics (DPD) method
			under isothermal, isoenergetic, isobaric and isenthalpic conditions.
			The DPD equations of motion are integrated through the Shardlow
			splitting algorithm.

			Currently, the package has the following features:

			* A new DPD atom style for tracking the DPD particle internal energies
			and internal temperature

			* Compute commands for accessing the DPD particle internal energies
			and internal temperature

			* "fix eos" commands for relating the DPD internal energy to the DPD
			internal temperature through a coarse-grained particle
			equation-of-state

			* "fix shardlow" command for integrating the stochastic ODEs

			* Pair styles for modeling a DPD fluid

			* Commands for setting the particle internal temperature

			See the doc pages for "atom style dpd", "compute dpd" and "compute
			dpd/atom", "fix eos/cv" and "fix eos/table", "fix shardlow", "pair
			dpd/conservative" and "pair dpd/fdt" and "pair dpd/fdt/energy"
			commands to get started. At the bottom of the doc page are many links
			to additional documentation contained in the doc/USER/dpd directory.

			There are example scripts for using this package in examples/USER/dpd.

			The primary people who created this package are James Larentzos
			(james.p.larentzos.civ at mail.mil), Timothy Mattox (Timothy.Mattox at
			engilitycorp.com) and John Brennan (john.k.brennan.civ at mail.mil).
			Contact them directly if you have questions.